Package: tidypredict Title: Run Predictions Inside the Database Version: 1.1.0.9000 Authors@R: c( person("Emil", "Hvitfeldt", , "emil.hvitfeldt@posit.co", role = c("aut", "cre")), person("Edgar", "Ruiz", , "edgar@posit.co", role = "aut"), person("Max", "Kuhn", , "max@posit.co", role = "aut") ) Description: It parses a fitted 'R' model object, and returns a formula in 'Tidy Eval' code that calculates the predictions. It works with several databases back-ends because it leverages 'dplyr' and 'dbplyr' for the final 'SQL' translation of the algorithm. It currently supports lm(), glm(), randomForest(), ranger(), rpart(), C5.0(), earth(), xgb.Booster.complete(), lgb.Booster(), catboost.Model(), cubist(), ctree(), cforest(), and ksvm() models. License: MIT + file LICENSE URL: https://tidypredict.tidymodels.org, https://github.com/tidymodels/tidypredict BugReports: https://github.com/tidymodels/tidypredict/issues Depends: R (>= 4.1.0) Imports: cli, dplyr (>= 0.7), generics, jsonlite, knitr, purrr, rlang (>= 1.1.1), tibble, tidyr Suggests: agua, aorsf, bonsai, C50, covr, Cubist (>= 0.5.1), DBI, dbplyr, earth (>= 5.1.2), glmnet, h2o, kernlab, LiblineaR, lightgbm, mboost, methods, mlbench, modeldata, nycflights13, parsnip, partykit, quantreg, randomForest, ranger (>= 0.14.1), rpart (>= 4.1.0), rules, rmarkdown, RSQLite, survival, testthat (>= 3.2.0), withr, xgboost, yaml VignetteBuilder: knitr Config/Needs/website: tidyverse/tidytemplate Config/testthat/edition: 3 Encoding: UTF-8 Roxygen: list(markdown = TRUE) Config/roxygen2/version: 8.0.0 Config/pak/sysreqs: libicu-dev Repository: https://tidymodels.r-universe.dev Date/Publication: 2026-07-22 22:07:05 UTC RemoteUrl: https://github.com/tidymodels/tidypredict RemoteRef: HEAD RemoteSha: 18b7337c40d03ba64e82df5f5536eeca034b6035 NeedsCompilation: no Packaged: 2026-07-22 22:49:02 UTC; root Author: Emil Hvitfeldt [aut, cre], Edgar Ruiz [aut], Max Kuhn [aut] Maintainer: Emil Hvitfeldt